Cover Image

Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Yixuan, Yang, Yi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Op-Fed: Opinion, Stance, and Monetary Policy Annotations on FOMC Transcripts Using Active Learning
by: Kanganis, Alisa, et al.
Published: (2025)

Analyzing FOMC Minutes: Accuracy and Constraints of Language Models
by: Kim, Wonseong, et al.
Published: (2023)

SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
by: Tang, Yixuan, et al.
Published: (2025)

Chain of Stance: Stance Detection with Large Language Models
by: Ma, Junxia, et al.
Published: (2024)

KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs
by: Tang, Yixuan, et al.
Published: (2026)

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
by: Yang, Ruichao, et al.
Published: (2024)

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
by: Zhang, Jiayi, et al.
Published: (2025)

Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task
by: Wang, Bingqian, et al.
Published: (2025)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Can Large Language Models Address Open-Target Stance Detection?
by: Akash, Abu Ubaida, et al.
Published: (2024)

Predicting User Stances from Target-Agnostic Information using Large Language Models
by: Loh, Siyuan Brandon, et al.
Published: (2024)

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
by: Li, Ang, et al.
Published: (2024)

Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
by: Tang, Yixuan, et al.
Published: (2024)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
by: Tang, Yixuan, et al.
Published: (2024)

Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
by: Hirose, Manari, et al.
Published: (2025)

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
by: Tang, Yixuan, et al.
Published: (2026)

AI Research Agents Narrow Scientific Exploration
by: Tang, Yixuan, et al.
Published: (2026)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
by: Tang, Yixuan, et al.
Published: (2025)

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension
by: Fang, Yanbo, et al.
Published: (2025)

Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models
by: de Landa, Joseba Fernandez, et al.
Published: (2022)

Stance Detection on Social Media with Fine-Tuned Large Language Models
by: Gül, İlker, et al.
Published: (2024)

Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)

MindShift: Analyzing Language Models' Reactions to Psychological Prompts
by: Vasiliuk, Anton, et al.
Published: (2025)

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
by: Peeperkorn, Max, et al.
Published: (2025)

Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
by: Guo, Rongchen, et al.
Published: (2024)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
by: Ng, Lynnette Hui Xian, et al.
Published: (2024)

Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
by: Cruickshank, Iain J., et al.
Published: (2023)

Uncovering Limitations of Large Language Models in Information Seeking from Tables
by: Pang, Chaoxu, et al.
Published: (2024)

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
by: Wu, Jialiang, et al.
Published: (2025)

dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers
by: Lichouri, Mohamed, et al.
Published: (2024)

FinMTEB: Finance Massive Text Embedding Benchmark
by: Tang, Yixuan, et al.
Published: (2025)

Debiasing Large Language Models in Thai Political Stance Detection via Counterfactual Calibration
by: Sermsri, Kasidit, et al.
Published: (2025)

CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)

Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)

Whose Side Are You On? Investigating the Political Stance of Large Language Models
by: Pit, Pagnarasmey, et al.
Published: (2024)

FarExStance: Explainable Stance Detection for Farsi
by: Zarharan, Majid, et al.
Published: (2024)

EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection
by: Ding, Daijun, et al.
Published: (2024)

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
by: Guo, YiQiu, et al.
Published: (2025)

Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
by: Zhang, Biao, et al.
Published: (2025)